1. Stacks A stack is a linear data structure that can be accessed only at one of its ends for storing and retrieving data LIFO (Last In First Out) structure

2. Stacks as ADTs Data – A collection of elements of the same type Operations – clear() – isEmpty() – push(el) – pop() – topEl()

3. Stacks as ADT’s (cont’d) Implementation – With a doubly linked list, code in book Time Complexity of push and pop operations?

4. Stacks as ADTs (cont’d)

5. Applications of Stacks parenthesis matching Performing “postfix” calculations Performing “infix” to “postfix” conversions Function calls (and specially recursion) rely upon stacks

6. Symbol Balancing A useful tool for checking your code is to see if the (), {}, and [] symbols balance properly For example, the sequence …[…(…)…]… is legal but the sequence …[…(…]…)… is not The presence of one misplaced symbol can result in hundreds of worthless compiler diagnostic errors

7. Symbol Balancing (cont’d) The algorithm is simple and efficient: – Create an empty stack – Read characters until end of file (EOF) – If the character is an opening symbol (, [, or {, push it onto the stack – If it is a closing symbol ), ], or }, then if the stack is empty report an error. Otherwise pop the stack – If the symbol popped is not the corresponding opening symbol, report an error – At EOF, if the stack is not empty report an error Example: Apply this algorithm to the statement: (([])), (([)]) s=t[5]+u/(v*(w+y));

8. When will an error reported for Symbol Matching

9. Postfix Evaluation What is “postfix”? – It is the most efficient method for representing arithmetic expressions – With “infix” (the method you are used to) a + b operators between operands: – With “postfix” : a b + operators after operands – There is never any need to use ()’s with postfix notation. There is never any ambiguity

10. Postfix Example This example is in infix: a + b * c + (d * e + f) * g In postfix this is: a b c * + d e * f + g * +

11. Postfix Evaluation Algorithm The algorithm is simple and efficient O(n): – Read in input – If input is an operand, push on stack – If input is an operator, pop top two operands off stack, perform operation, and place result on stack Example: 1+2*3 (infix) 123*+ (postfix) a b c * +

12. Infix to Postfix Conversion Only need a stack to write an algorithm to convert an infix expression to a postfix expression – It can handle the presence of ()’s – It is efficient: O(n)

13. Infix -> Postfix Conversion Example This example is in infix: a + b * c + (d * e + f) * g In postfix this is: a b c * + d e * f + g * +

14. Conversion Algorithm The algorithm is reasonably simple: – Read infix expression as input – If input is operand, output the operand – If input is an operator +, -, *, /, then pop and output all operators of >= precedence. Push operator – If input is (, then push – If input is ), then pop and output all operators until see a ( on the stack. Pop the ( without output – If no more input then pop and output all operators on stack

15. Function Calls In almost all programming languages, calling a function involves the use of a stack – When there is a function call, all of the important information (e.g., values of variables, etc…) is stored on a stack, and control is transferred to the new function – This is especially important during recursion

16. Example